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Get Started Free →Break down implementation plans into actionable task lists. Use after planning to create a structured task breakdown. Generates tasks.md with ordered, dependency-aware tasks.
.claude/skills/foryourhealth111-pixel-speckit-tasks/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-09 | ✗→✓ | ▲ Improved | 4% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 17% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 40% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 28% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 22% | 0% |
text$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
.specify/scripts/powershell/check-prerequisites.ps1 -Json from repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot")..specify/templates/tasks-template.md as structure, fill with:Context for task generation: $ARGUMENTS
The tasks.md should be immediately executable - each task must be specific enough that an LLM can complete it without additional context.
CRITICAL: Tasks MUST be organized by user story to enable independent implementation and testing.
Tests are OPTIONAL: Only generate test tasks if explicitly requested in the feature specification or if user requests TDD approach.
Every task MUST strictly follow this format:
text- [ ] [TaskID] [P?] [Story?] Description with file path
Format Components:
- [ ] (markdown checkbox)Examples:
- [ ] T001 Create project structure per implementation plan- [ ] T005 [P] Implement authentication middleware in src/middleware/auth.py- [ ] T012 [P] [US1] Create User model in src/models/user.py- [ ] T014 [US1] Implement UserService in src/services/user_service.py- [ ] Create User model (missing ID and Story label)T001 [US1] Create model (missing checkbox)- [ ] [US1] Create User model (missing Task ID)- [ ] T001 [US1] Create model (missing file path)| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-08 | pass→pass | 9,314 | 9,711 | +4% | 1 | 1 | 0% | 1,786 | 2,588 | +45% | 0 | 0 | — |
case-09 | fail→pass | 12,153 | 3,486 | -71% | 1 | 1 | 0% | 2,010 | 2,100 | +4% | 0 | 0 | — |
case-01 | fail→fail | 12,725 | 5,689 | -55% | 1 | 1 | 0% | 2,062 | 1,747 | -15% | 0 | 0 | — |
case-02 | fail→fail | 23,100 | 4,340 | -81% | 1 | 1 | 0% | 4,509 | 1,669 | -63% | 0 | 0 | — |
case-03 | fail→fail | 23,474 | 4,890 | -79% | 1 | 1 | 0% | 4,708 | 1,753 | -63% | 0 | 0 | — |
case-04 | fail→fail | 8,757 | 6,845 | -22% | 1 | 1 | 0% | 1,478 | 2,780 | +88% | 0 | 0 | — |
case-05 | pass→fail | 3,644 | 28,766 | +689% | 1 | 1 | 0% | 624 | 1,711 | +174% | 0 | 0 | — |
case-06 | pass→pass | 4,090 | 1,746 | -57% | 1 | 1 | 0% | 729 | 1,797 | +147% | 0 | 0 | — |
case-07 | fail→fail | 10,656 | 6,789 | -36% | 1 | 1 | 0% | 1,732 | 1,926 | +11% | 0 | 0 | — |
case-10 | pass→pass | 11,073 | 3,971 | -64% | 1 | 1 | 0% | 1,851 | 2,251 | +22% | 0 | 0 | — |
case-11 | fail→pass | 10,326 | 3,054 | -70% | 1 | 1 | 0% | 1,759 | 2,066 | +17% | 0 | 0 | — |
case-12 | fail→pass | 9,536 | 3,624 | -62% | 1 | 1 | 0% | 1,502 | 2,098 | +40% | 0 | 0 | — |
case-13 | fail→pass | 9,389 | 3,108 | -67% | 1 | 1 | 0% | 1,499 | 1,915 | +28% | 0 | 0 | — |
case-14 | pass→fail | 10,123 | 5,036 | -50% | 1 | 1 | 0% | 1,634 | 1,720 | +5% | 0 | 0 | — |
case-15 | fail→pass | 8,896 | 2,033 | -77% | 1 | 1 | 0% | 1,491 | 1,821 | +22% | 0 | 0 | — |
case-16 | pass→pass | 5,294 | 3,306 | -38% | 1 | 1 | 0% | 943 | 2,094 | +122% | 0 | 0 | — |
case-17 | pass→pass | 3,944 | 2,457 | -38% | 1 | 1 | 0% | 534 | 1,837 | +244% | 0 | 0 | — |
case-18 | fail→pass | 14,851 | 4,309 | -71% | 1 | 1 | 0% | 2,495 | 2,262 | -9% | 0 | 0 | — |
case-19 | fail→pass | 14,121 | 6,975 | -51% | 1 | 1 | 0% | 2,270 | 2,737 | +21% | 0 | 0 | — |
case-20 | fail→fail | 5,816 | 2,608 | -55% | 1 | 1 | 0% | 888 | 1,867 | +110% | 0 | 0 | — |
case-21 | fail→pass | 12,227 | 4,552 | -63% | 1 | 1 | 0% | 2,061 | 2,217 | +8% | 0 | 0 | — |
case-22 | fail→fail | 10,349 | 4,280 | -59% | 1 | 1 | 0% | 1,649 | 2,140 | +30% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 16 counted toward the lift figure. The other 6 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +27 percentage points is the difference between those two pass rates over the 16 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.